鲁棒预见信息融合控制及其在舰载机自动着舰系统中的应用研究

In allusion to the complex disturbed uncertain nonlinear multi-variable system like the carrier based aircraft with thrust vectoring, a novel robust preview information fusion control method is proposed, and is applied in the accurate landing control problem under complex environment disturbance. Firstly, a nonlinear fusion estimation based preview information fusion control method is presented for the disturbed nonlinear multi-variable system, and a robust preview information fusion control method that fusing the constraint information of robust performance index is presented. Secondly, a robust fusion estimation based robust preview information fusion control method is presented for the disturbed uncertain multi-variable system. By fusing more useful information of disturbed uncertain nonlinear multi-variable system, it improves the comprehensive performance of control system. Thirdly, a robust preview information fusion control based carrier landing control system of the carrier based aircraft with thrust vectoring is designed, by fusing the information of desired glide path, environment disturbances, performance index, aircraft dynamics and kinematics models, and flight states, it improves the precision, robustness and anti-disturbance of the landing control system. Finally, a real-time visual simulation system for automatic landing is designed to verify the advance and real-time properties of the flight control system and its control strategies. Implementation of the project is beneficial to cross fusion of multi-disciplines such as control theory, information fusion and so on, and supplies reference action for the successful automatic landing of the carrier based aircraft of China.

针对推力矢量舰载机这类复杂受扰不确定非线性多变量系统，提出一种鲁棒预见信息融合控制方法，并用于解决复杂环境干扰下的舰载机精确着舰控制问题。针对受扰非线性多变量系统，提出基于非线性融合估计的预见信息融合控制方法，并引入鲁棒性能指标约束信息，提出鲁棒预见信息融合控制方法；针对受扰不确定多变量系统，提出基于鲁棒融合估计的鲁棒预见信息融合控制方法。通过融合受扰不确定非线性系统的更多有用信息，提高了控制系统的综合性能。设计基于鲁棒预见信息融合控制的推力矢量舰载机着舰控制系统，融合理想下滑轨迹、环境干扰、性能指标函数、舰载机动力学和运动学模型以及飞行状态等有用信息，提高着舰控制系统的精度、鲁棒性和抗扰性。设计自动着舰实时可视化仿真平台，验证飞行控制系统及控制算法的先进性和实时性。本项目的实施有利于控制理论、信息融合等多学科领域之间的交叉融合，同时也期望为我国舰载机实现自动着舰提供参考借鉴作用。

本项目将舰载机的自动着舰飞行控制这一实际工程问题，抽象为受扰不确定非线性多变量系统的控制这一前沿科学问题。.为此，本项目提出了一种鲁棒预见信息融合控制方法，用于解决复杂环境下的舰载机自动着舰问题。该方法旨在融合系统的鲁棒/预见性能指标约束信息、受扰不确定线性/非线性动态方程约束信息、未来可预见状态/输出/干扰信息以及当前系统状态/输出/干扰信息，比传统信息融合控制利用更多的有用信息，能够很好地解决具有受干扰、不确定、非线性、多变量等特性的一般化系统的控制问题，有利于拓宽预见控制、信息融合控制等先进控制技术的应用范畴，也有利于现代控制、信息融合等学科之间的交叉融合和发展。本项目提出基于鲁棒预见信息融合控制的舰载机自动着舰飞行控制策略，旨在融合舰载机动力学和运动学方程、舰尾气流干扰、甲板运动状态、理想下滑轨迹以及控制性能指标函数等更多有用的信息，实现下滑轨迹、姿态和飞行速度的精确控制，提高着舰控制系统的鲁棒性和抗干扰性能。.本项目研究成果丰硕，总计发表了40余篇学术论文，其中SCI收录论文10篇，撰写了3部专著，授权7项发明专利，申请17项发明专利，培养了10余名硕士博士研究生。.总之，本项目的研究具有重要的理论研究价值和实际工程参考意义。